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  1. Women in Big Data (WiBD) is an inclusive community of professionals and aspiring professionals who appreciate that big data is a tool being harnessed at every level, in every industry today, to shape tomorrow.

    • About

      Women in Big Data (WiBD) started as a grass-roots...

    • Resources

      Resources - Women in Big Data

    • Blogs

      A Memorable Night at the Big Data and Artificial...

    • Join Us

      Becoming a Women in Big Data member is free of charge and...

    • Sponsors

      Sponsors - Women in Big Data

    • NGO Leadership

      Radhika is a co-founder of Women in Big Data. A recognized...

    • WiBD Structure

      Interested in starting one in your area? Start here. Learn...

    • Our Journey

      In May 2015, we reached out to our big data partners in the...

  2. Women in Data is a vibrant and diverse community of data leaders, practitioners, learners, and data citizens. With over 70,000 members in 60+ countries and chapters in 60 cities, we are a global network empowering women to excel in data careers.

  3. 6 mar 2020 · Data scientist, data engineer, machine learning specialist, analytics software engineer: these data science–related roles are in high demand. In building data science teams, achieving a diversity of approaches and points of view is not just desirable—it is critical.

  4. Women in Data Science (WiDS) Worldwide empowers women to reach their full potential in the field of data science. We elevate and celebrate the outstanding work of women on a global scale, fostering respect, collaboration, connection, and visibility.

  5. 4 mar 2024 · Women in data science represent a pivotal demographic in high demand within the field. Despite strides towards diversity, gender imbalance persists, with men comprising a significant majority of data scientists. A career in data science comes with endless opportunities.

  6. 6 gru 2022 · Data teams with diverse resources in gender and ethnicity ensure that data projects benefit from a variety of opinions and experiences that mitigate data bias, reduce data prediction errors and provide more balanced results.

  7. 19 maj 2020 · Only 15% to 22% of today’s data science professionals are women, according to recent research from Boston Consulting Group. Moreover, women data analysts tend not to hold managerial roles ...

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